A case study on the relationships between the dietary patterns and the nutritional status of school children in Galkadapathana village in Sri Lanka

Authors

  • Jayasekara M. C. K. B. Siriwardhane Department of Food Science and Technology, Faculty of Agriculture, University of Peradeniya, Sri Lanka
  • Egodage R. J. Samarakoon Department of Food Science and Technology, Faculty of Agriculture, University of Peradeniya, Sri Lanka
  • Anuradha Jayaweera Department of Agricultural Extension, Faculty of Agriculture, University of Peradeniya, Sri Lanka

DOI:

https://doi.org/10.18203/2394-6040.ijcmph20241474

Keywords:

Dietary diversity, Nutritional status, Malnutrition, Underweight, Stunting

Abstract

Background: Nutritional status is an important indicator in measuring the quality of life of children. Galkadapthana is a rural agricultural village in the Nuwara Eliya district, Sri Lanka. Villagers confront difficulties regarding their nutritional status due to low income, inadequate education and poor infrastructure facilities. This study was undertaken to identify the relationships between the nutritional status of school children in Galakadapathana village and their dietary patterns.

Methods: A community-based cross-sectional study was carried out using a deductive approach. A total of 85 households with 137 school children aged 6-18 years were randomly selected. Data was collected using structured surveys and conducting face-to-face interviews. The nutritional status of children was assessed through anthropometric measurements.

Results: A severely stunted condition was observed in 5.8% of children, while 7.3% represent severely underweight conditions according to the WHO growth references, 2007. The maximum number of 6 was scored in the Individual Dietary Diversity Score (IDDS) by 24.8% of the population. The maximum number of 7 in the Household Dietary Diversity Score (HDDS) was scored by 21.2% of the population. There was no significant (P>0.05) relationship between the BMI-for-age status and the aggregate level of education of the breadwinner, birthweight of the child, IDDS, and HDDS. However, the amount of starchy food intake significantly (P<0.05) impacted the BMI-for-age status.

Conclusions: The amount of starchy food intake showed a significant impact on the prevalence of wasting (P<0.05), but not the aggregate level of education of the breadwinner, birthweight of the child and dietary diversity.

Metrics

Metrics Loading ...

References

Sinha KK. Malnutrition The Problem of Malnutrition. Cambridge Univ. 2003;10:3660-7.

Sharkey JR, Branch LG, Zohoori N, Giuliani C, Busby-Whitehead J, Haines PS. Inadequate nutrient intakes among homebound elderly and their correlation with individual characteristics and health-related factors. Am J Clin Nutrit. 2002;76(6):1435-45.

Kellett J, Kyle G, Itsiopoulos C, Naunton M, Luff N. Malnutrition: The Importance of Identification, Documentation, and Coding in the Acute Care Setting. J Nutr Metab. 2016;2016.

Fávaro-Moreira NC, Krausch-Hofmann S, Matthys C, Vereecken C, Vanhauwaert E, Declercq A, et al. Risk factors for malnutrition in older adults: A systematic review of the literature based on longitudinal data. Advan Nutrit. 2016;7(3):507-22.

Chen CCH, Bai YY, Huang GH, Tang ST. Revisiting the concept of malnutrition in older people. J Clin Nurs. 2007;16(11):2015-26.

Ritchie CS, Burgio KL, Locher JL, Cornwell A, Thomas D, Hardin M, Redden D. Nutritional status of urban homebound older adults. Am J Clin Nutri. 1997;66(4):815-8.

Chapman IM, MacIntosh CG, Morley JE, Horowitz M. The anorexia of ageing. Biogerontol. 2002;3:67-71.

Schilp J, Wijnhoven HAH, Deeg DJH, Visser M. Early determinants for the development of undernutrition in an older general population: Longitudinal Aging Study Amsterdam. Brit J Nutri. 2011;106(5):708-17.

van der Pols-Vijlbrief R, Wijnhoven HAH, Schaap LA, Terwee CB, Visser M. Determinants of protein-energy malnutrition in community-dwelling older adults: A systematic review of observational studies. Ageing Res Rev. 2014;18:112-31.

Cheah WL, Muda WM, Zabidi-Hussin ZA, Chang KH. A Qualitative study on Malnutrition in Children from the perspectives of Health Workers in Tumpat, Kelantan. Malays J Nutrit. 2007;13(1):19-28.

Franssen JJ, Maaskant MA, van Schrojenstein Lantman‐de Valk HM. Qualitative study of malnutrition in people with intellectual disabilities. J Pol Pract Intellect Disabil. 2011;8(4):239-46.

De Onis M, Blossner M, World Health Organization. WHO global database on child growth and malnutrition. World Health Organization; 1997.

Onis MD, Frongillo EA, Blössner M. Is malnutrition declining? An analysis of changes in levels of child malnutrition since 1980. Bull Wor Heal Organizat. 2000;78(10):1222-33.

Caulfield LE, de Onis M, Blössner M, Black RE. Undernutrition as an underlying cause of child deaths associated with diarrhea, pneumonia, malaria, and measles. Am J Clin Nutrit. 2004;80(1):193-8.

Weerahewa J, Wijetunga CS, Babu SC, Atapattu N. Food policies and nutrition transition in Sri Lanka: historical trends, political regimes, and options for interventions. Intl Food Policy Res Inst; 2018.

Katulanda P, Constantine GR, Mahesh JG, Sheriff R, Seneviratne RD, Wijeratne S, et al. Prevalence and projections of diabetes and pre‐diabetes in adults in Sri Lanka-Sri Lanka Diabetes, Cardiovascular Study (SLDCS). Diabetic Medicine. 2008;25(9):1062-9.

Katulanda P, Ranasinghe P, Jayawardana R, Sheriff R, Matthews DR. Metabolic syndrome among Sri Lankan adults: prevalence, patterns and correlates. Diabetol Metabol Syndr. 2012;4:1-0.

UNICEF. Humanitarian Action for Children Sri Lanka Highlights, 2022. Available at: www.unicef.org/appeals. Accessed 01 March 2024.

Department of Census and Statistics. Sri Lanka: Demographic and Health Survey 2016, 2017. Available at: http://www.statistics.gov.lk/Resource/ en/Health/DemographicAndHealthSurveyReport-2016-Contents.pdf. Accessed 01 March 2024.

Kotrlik JW, Higgins CC. Organizational research: Determining appropriate sample size in survey research appropriate sample size in survey research. Inform Technol Learn Performan J. 2001;19(1):43.

Swindale A, Bilinsky P. Household dietary diversity score (HDDS) for measurement of household food access: indicator guide. Washington, DC: Food and Nutrition Technical Assistance Project, Academy for Educational Development. 2006.

World health Organization. Low Birth Weight: A tabulation of available information, 1992. Available at: https://apps.who.int/iris/bitstream/handle/10665/ 59205/WHO?sequence=1. Accessed 17 December, 2022.

Peiris TDR, Wijesinghe DGNG. Nutritional Status of under 5 Year-Old Children and Its Relationship with Maternal Nutrition Knowledge in Weeraketiya DS Division of Sri Lanka. 2010;21.

World Health Organization/Food and Agriculture Organization of the United Nations. Preparation and use of Food-Based Dietary Guidelines, 1996. Available at: https://www.who.int/publications/i/item/9241208805. Accessed 01 March 2024.

Ruel MT. Is dietary diversity an indicator of food security or dietary quality? A review of measurement issues and research needs. Food Nutr Bull. 2003;24(2):231-2.

Herforth A. Promotion of traditional African vegetables in Kenya and Tanzania: a case study of an intervention representing emerging imperatives in global nutrition. 2010.

Oyarzun PJ, Borja RM, Sherwood S, Parra V. Making sense of agrobiodiversity, diet, and intensification of smallholder family farming in the highland Andes of Ecuador. Ecol Food Nutrit. 2013;52(6):515-41.

Jones AD, Shrinivas A, Bezner-Kerr R. Farm production diversity is associated with greater household dietary diversity in Malawi: Findings from nationally representative data. Food Policy. 2014;46:1-12.

Keding G, Schneider K, security IJF, 2013 undefined. Production and processing of foods as core aspects of nutrition-sensitive agriculture and sustainable diets. Springer. 2013;5(6):825-46.

Drescher L, Thiele S, Roosen J, Mensink GB. Consumer demand for healthy eating considering diversity-an economic approach for German individuals. Int J Consum Stud. 2009;33(6):684-96.

Taruvinga A, Muchenje V, Mushunje A. Determinants of rural household dietary diversity: The case of Amatole and Nyandeni districts, South Africa. Int J Develop Sustainabil. 2013;2(4):2233-47.

Doan D. Does income growth improve diet diversity in China? New South Wales. 2014:4-7.

Fanta F. Developing and validating simple indicators of dietary quality and energy intake of infants and young children in developing countries: summary of findings from analysis of 10 data sets. Washington, DC: Academy for Educational Development. 2006.

Kant AK. Dietary patterns and health outcomes. J Am Diet Assoc. 2004;104(4):615-35.

Rose D, Meershoek S, Ismael C, McEwan M. Evaluation of a rapid field tool for assessing householddiet quality in Mozambique. SAGE J. 2002;23(2):181-9.

Tarini A, Bakari S, Delisle H. The overall nutritional quality of the diet is reflected in the growth of children from Niger. Santé. 1999;9(1):23-31.

UNICEF/WHO/World Bank Group. Levels and Trends in Child Malnutrition, 2021. Available at: https://data.unicef.org/wp-content/uploads/2021/07/JME-2021-United-Nations-regions-v2.pdf. Accessed 01 March 2024.

Hatloy A, Hallund J, Diarra MM, Oshaug A. Food variety, socioeconomic status and nutritional status in urban and rural areas in Koutiala (Mali). Public Health Nutr. 2000;3(1):57-65.

Hoddinott J, Yohannes Y. Dietary diversity as a food security indicator. 2002:1-81.

Downloads

Published

2024-05-30

How to Cite

Siriwardhane, J. M. C. K. B., Samarakoon, E. R. J., & Jayaweera, A. (2024). A case study on the relationships between the dietary patterns and the nutritional status of school children in Galkadapathana village in Sri Lanka. International Journal Of Community Medicine And Public Health, 11(6), 2175–2183. https://doi.org/10.18203/2394-6040.ijcmph20241474

Issue

Section

Original Research Articles